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Online Writing Effectiveness Under the Blended Teaching Mode of Moscotech APP

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The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy (SPIOT 2020)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1283))

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Abstract

The rapid development of modern information technology has brought great changes to People’s Daily work and life, and the extensive application of network information technology in modern English teaching will bring about a series of innovations to the traditional English teaching mode. Based on the mixed English teaching mode promoted by the network environment, this paper constructs the mixed learning mode of Moscotech APP and applies it to English writing teaching. The results show that blended learning is more effective than traditional teaching. There is a significant positive correlation between the learning experience value and the final assessment result. This comparative study on the effectiveness of the large-scale online automatic correction software will be helpful to improve the teaching of college English writing.

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Acknowledgments

This research was supported by 2018 Provincial Quality Engineering Project of Anhui Higher Institute Massive Open Online Courses (MOOCs) demonstration projects (project number: 2018mooc429).

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Correspondence to Juan Qian .

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Qian, J. (2021). Online Writing Effectiveness Under the Blended Teaching Mode of Moscotech APP. In: MacIntyre, J., Zhao, J., Ma, X. (eds) The 2020 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy. SPIOT 2020. Advances in Intelligent Systems and Computing, vol 1283. Springer, Cham. https://doi.org/10.1007/978-3-030-62746-1_19

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